Sossa Azuela, J.
* 1998: Automatic Facial Feature Detection and Location
Includes: Sossa Azuela, J. Sossa-Azuela, J.
Sossa Azuela, J.H.[Juan Humberto]
* 1996: On the Computation of the Euler Number of a Binary Object
* 2000: Mathematical Morphology Based on Linear Combined Metric Spaces on Z2 (Part I): Fast Distance Transforms
* 2000: Mathematical Morphology Based on Linear Combined Metric Spaces on Z2 (Part II): Constant Time Morphological Operations
* 2000: New Method to Count Objects Into an Image
* 2000: Object Recognition by Indexing Using Neural Networks
* 2001: Computing geometric moments using morphological erosions
* 2001: Counting the Number of Blobs in an Image
* 2008: Decision and Communication Management Methodology for embedded Multi-smart Camera systems, applied to real-time inspection in lamps production, A
* 2020: Towards Dendrite Spherical Neurons for Pattern Classification
* 2023: Residual 3D convolutional neural network to enhance sinograms from small-animal positron emission tomography images
* 2023: Special section: Best papers of the 14th Mexican conference on pattern recognition (MCPR) 2022
Includes: Sossa Azuela, J.H.[Juan Humberto] Sossa-Azuela, J.H.[Juan Humberto] Sossa-Azuela, J.H. Sossa Azuela, J.H.[J. Humberto] Sossa Azuela, J.H. Sossa-Azuela, J.H.[J. Humberto]
11 for Sossa Azuela, J.H.
Sossa, H.[Humberto]
* 1992: Model Indexing: The Graph-Hashing Approach
* 1995: Polyhedral Object Recognition by Indexing
* 1996: Model-based recognition of planar objects using geometric invariants
* 2006: Associative Memories Applied to Image Categorization
* 2007: Face Recognition Using Some Aspects of the Infant Vision System and Associative Memories
* 2007: Low Frequency Response and Random Feature Selection Applied to Face Recognition
* 2007: New Algorithm for Training Multi-layered Morphological Networks, A
* 2008: Hetero-Associative Memories for Voice Signal and Image Processing
* 2009: New Unsupervised Learning for Clustering Using Geometric Associative Memories, A
* 2010: Unsupervised Image Retrieval with Similar Lighting Conditions
* 2012: Automatic Design of Artificial Neural Networks and Associative Memories for Pattern Classification and Pattern Restoration
* 2014: New Radial Basis Function Neural Network Architecture for Pattern Classification: First Results
* 2014: Pattern Analysis in DNA Microarray Data through PCA-Based Gene Selection
* 2015: Classification of Hand Movements from Non-invasive Brain Signals Using Lattice Neural Networks with Dendritic Processing
* 2015: Encoding Polysomnographic Signals into Spike Firing Rate for Sleep Staging
* 2015: Modified Binary Inertial Particle Swarm Optimization for Gene Selection in DNA Microarray Data
* 2015: On the number of holes of a 2-D binary object
* 2016: Automatic Construction of Radial-Basis Function Networks Through an Adaptive Partition Algorithm
* 2016: Classification of Motor States from Brain Rhythms Using Lattice Neural Networks
* 2016: Training a Multilayered Perceptron to Compute the Euler Number of a 2-D Binary Image
* 2016: Vegetation Segmentation in Cornfield Images Using Bag of Words
* 2017: Comparing Deep and Dendrite Neural Networks: A Case Study
* 2017: Efficient Pattern Recognition Using the Frequency Response of a Spiking Neuron
* 2020: Vision-based Blind Spot Warning System by Deep Neural Networks
* 2021: Comparison Study of EEG Signals Classifiers for Inter-subject Generalization, A
* 2021: Finding the Optimal Bit-Quad Patterns for Computing the Euler Number of 2D Binary Images Using Simulated Annealing
* 2023: Learning an artificial neural network to discover bit-quad-based formulas to compute basic object properties
* 2023: Learning smooth dendrite morphological neurons for pattern classification using linkage trees and evolutionary-based hyperparameter tuning
Includes: Sossa, H.[Humberto] Sossa, H.
28 for Sossa, H.
Sossa, J.H.
* 1989: Improved Parallel Algorithm for Thinning Digital Patterns, An
* 1998: 2-D Object Recognition by Indexing Through a Modified ART-2 Neural-Network
* 2006: Wavelet transforms and neural networks applied to image retrieval
* 2009: Scene Retrieval of Natural Images
Includes: Sossa, J.H. Sossa, J.H.[Juan H.]
Sossa, V.[Viviana]
* 2019: Lab Non Destructive Test to Analyze the Effect of Corrosion on Ground Penetrating Radar Scans
Sossai, J.[Jonas]
* 2007: Reconstruction of 3D Object Meshes from Silhouette Images
Sossi, V.
* 2008: Accurate Event-Driven Motion Compensation in High-Resolution PET Incorporating Scattered and Random Events
* 2008: Analytical Scatter Correction for Singles-Mode Transmission Data in PET, An
* 2017: PET Image Reconstruction and Deformable Motion Correction Using Unorganized Point Clouds
* 2020: Use of a Tracer-Specific Deep Artificial Neural Net to Denoise Dynamic PET Images
Sossong, M.J.
* 2007: Statistical Reconstruction for Cosmic Ray Muon Tomography